Analysis of Indian Legal Dataset
Bachelor Thesis Project | 2017-18 | Prof. Mausam
India is the world’s largest democracy. Judiciary is a critical pillar of this democracy. Since independence the functioning of our judicial system has not been able to keep up with the requirement of the citizens of this country. The judicial system is highly overburdened with over 20 million cases currently pending in district courts of which 10% have been pending for over 10 years. There is a large shortage of judges. India has one judge for every 73000 people which is an average 7 times worse than in the United States. Bulk of the cases that the judiciary handles is done through their lowest tier of execution i.e. the district courts.
Data analysis and Artificial intelligence can help with making this system better. Descriptive analyses such as performance monitoring and anomaly detection can help identify superlative performances for further investigations and perhaps emulate the model being used elsewhere to get better results. Predictive analyses such as predicting expected completion time of the case or the next hearing date can help people set expectations from the judicial system. Prescriptive analyses such as scheduling and allocation methodologies can help improve the performance of the courts and achieve better satisfaction for the public from the system.
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